SAS program coding for following. the sample data set as follows. need to write a code for convert all into speed = distance/time(sec)

then get the new table and find the mean , sample Sn and R

Convert the national track records for women in Table 1.9 to speeds measured in meters per second. For example, the record speed for the 100-m dash for Argentinian women is 100 m/11.57 sec = 8.643 m/sec. Notice that the records for the 800-m, 1500-m, 3000-m and marathon runs are measured in minutes The marathon is 26.2 miles, or 42,195 meters, Jong. Compute the X, S,,, and R arrays. Notice the magnitudes of the correlation coefficients as you go from the shorter (100 m) to the longer (marathon) running distances. Interpret these pairwise correlations Compare your results with the results you obtained in Exercise 1.17. data track records; seconds ( min ) input Country $ Distance100 Distance200 Distance400) Distance800 Distance1500 Distance3000 Marathon data" nes; ARG 11.57 22.94 52 .50 2. 05 4. 25 9.19 150 .32 AUS 11 . 12 22.23 48 .63 1 . 98 4. 02 8 . 63 143.51 AUT 11 . 15 22.70 50 . 62 1 . 94 4 . 05 8. 78 154 .35 BEL 11 . 14 22 . 48 51 . 45 1. 97 4.08 8 . 82 143 . 05 BER 11 . 46 23.05 53.30 2.07 4.29 9. 81 174.18 BRA 11 . 17 22 . 60 50 . 62 1. 97 4. 17 9.04 147 . 41 CAN 10.98 22 . 62 49. 91 1. 97 4.00 8 . 54 148 .36 CHI 11 . 65 23. 84 53.68 2.00 4.22 9.26 152.23 CHN 10.79 22. 01 49 . 81 1. 93 3. 84 8. 10 139.39 COL 11. 31 22. 92 49 . 64 2.04 4.34 9.37 155. 19 COK 12 .52 25.91 61 . 65 2.28 4 . 82 11 . 10 212.33 CRC 11 . 72 23. 92 52. 57 2. 10 4.52 9. 84 164.33